Jingjing Wu

Professor; Associate Head Graduate Studies

Department of Mathematics and Statistics

PhD - Statistics

University of Alberta, 2007

MSc - Probability

Beijing Normal University, 2002

BSc - Computational Mathematics

Central University for Nationalities, 1999

Contact information

Phone

Office: 403.220.6303

Location

Office : MS548

Courses

  • STAT 523 - Non-parametric Statistics
  • STAT 601.23 - Topics in Probability and Statistics (Asymptotic Statistic Inference)
  • STAT 701 - Theory of Probability I

Research and teaching

Research areas

  • Minimum distance estimation
  • Non/semi-parametric models
  • Regression/Logistic regression models
  • Efficiency and robustness
  • Mixture models
  • Survival analysis
  • Feature selection
  • Classification and clustering

Research Supervision

  • Currently accepting graduate students for Ph.D. and Masters program.
  • Currently accepting undergraduate students for research projects. 
  • Currently seeking to hire postdoctoral fellows.

Please contact me by email for more information.

Publications

Journal articles - peer reviewed

  • Qiang Zhao, Liang Chen and Jingjing Wu. “Robust and efficient estimation of GARCH models based on Hellinger distance”. Journal of Applied Statistics (2021): To appear.  
  • Jingjing Wu and Tasnima Abedin. “A two-component nonparametric mixture model with stochastic dominance”. Journal of the Korean Statistical Society (2021): To appear.  
  • Jingjing Wu, Xuewen Lu and Wenyan Zhong. “Bi-level variable selection in semiparametric transformation mixture cure models for right-censored data”. Communications in Statistics – Simulation and Computation (2021): To appear.  
  • Jiang Li and Jingjing Wu. “Minimum profile Hellinger distance estimation for semiparametric simple linear regression model”. Springer Proceedings in Mathematics and Statistics (2021): To appear.    
  • Shabnam Fani, Hua Shen, Xuewen Lu and Jingjing Wu. “Semiparametric regression with the U-shaped baseline hazard function in the additive hazards model under general censoring mechanisms”. Journal of Statistical Computation and Simulation 91.16 (2021): 3255-3282. 
  • Wenyan Zhong, Xuewen Lu and Jingjing Wu. “Bi-level variable selection in semiparametric transformation models with right-censored data”. Computational Statistics 36 (2021): 1661-1692. 
  • Mahdieh Bayati, Seyed Kamran Ghoreishi and Jingjing Wu. “Bayesian analysis of restricted penalized empirical likelihood”. Computational Statistics 36.2 (2021): 1321-1339. 
  • Seyed Kamran Ghoreishi and Jingjing Wu. “Empirical estimates for heteroscedastic hierarchical dynamic normal models”. Journal of the Korean Statistical Society 50.2 (2021): 528-543. 
  • Chen Cao, Devin Kwok, Shannon Edie, Qing Li, Bowei Ding, Pathum Kossinna, Simone Campbell, Jingjing Wu, Matthew Greenberg, Quan Long. “kTWAS: integrating kernel-machine with transcriptome-wide association studies improves statistical power and reveals novel genes”. Briefings in Bioinformatics 22.4 (2021): 1-16. 
  • Chen Cao, Bowei Ding, Qing Li, Devin Kwok, Jingjing Wu and Quan Long. “Power analysis of transcriptome-wide association study: implications for practical protocol choice”. PLOS Genetics 17.2 (2021): 1-20. 
  • Mahdieh Bayati, Seyed Kamran Ghoreishi and Jingjing Wu. “Restricted empirical likelihood estimation for time series autoregressive models”. Journal of Statistical Theory and Applications 20.1 (2021): 11-20. 
  • Seyed Kamran Ghoreishi and Jingjing Wu. “Adaptive thresholding estimator for differential association structures in two independent contingency tables”. Hacettepe Journal of Mathematics & Statistics 49.4 (2021): 1480-1492. 
  • Qiang Zhao, Rohana J. Karunamuni and Jingjing Wu. “An empirical classification procedure for nonparametric mixture models”. Journal of the Korean Statistical Society 49.3 (2020): 924-952. 
  • Wei Cong, Nianzhang Zhang, Ruisi Hu, Fengcai Zou, Yang Zou, Wenyan Zhong, Jingjing Wu, Christopher J. Fallaize, Xingquan Zhu and Hany M. Elsheikha. “Prevalence, risk factors and genotype distribution of Toxoplasma gondii DNA in soil in China”. Ecotoxicology and Environmental Safety 189 (2020): 1-7 (Article 109999). 
  • Lu, Shanshan, Wu, Jingjing and Lu, Xuewen. "Efficient estimation of the varying-coefficient partially linear proportional odds model with current status data". Metrika 82.2 (2019): 173-194. Print.
  • Wu, Jingjing and Karunamuni, Rohana. "Efficient and robust tests for semiparametric models". Annals of the Institute of Statistical Mathematics 70.4 (2018): 761-788. Print.
  • Li, Haocheng, Wu, Jingjing and Yang, Jian. "Minimum profile Hellinger distance estimation for two-sample location models". Journal of Data Science 16.3 (2018): 465-484. Print.
  • Wu, Jingjing and Zhou, Xiaofan. "Minimum Hellinger distance estimation for a semiparametric location-shifted mixture model". Journal of Statistical Computation and Simulation 88.13 (2018): 2507-2527. Print.
  • Wu, Jingjing, Yao, Weixin and Xiang, Sijia. "Computation of an efficient and robust estimator in a semiparametric mixture model". Journal of Statistical Computation and Simulation 87.11 (2017): 2128-2137. Print.
  • Wu, Jingjing, Xing, Nana and Liu, Shawn. "Maximum Lq-likelihood estimation for gamma distributions". Journal of Advanced Statistics 2.1 (2017): 54-70. Print.
  • Wu, Jingjing, Chen, Guoqiang and Feng, Zeny. "An efficient semiparametric approach for marker gene selection and patient classification". Biostatistics and Biometrics Open Access Journal 1.2 (2017): BBOAJ.MS.ID.555558. Print.
  • Zhong, Wenyan, Lu, Xuewen and Wu, Jingjing. "Feature selection for cancer classification using microarray gene expression data". Biostatistics and Biometrics Open Access Journal 1.2 (2017): BBOAJ.MS.ID.555557. Print.
  • Wu, Jingjing and Karunamuni, Rohana. "Profile Hellinger distance estimation". Statistics 49. (2015): 711-740. Print.
  • Xiang, Sijia, Yao, Weixin and Wu, Jingjing. "Minimum profile Hellinger distance estimation for a semiparametric mixture model". Canadian Journal of Statistics 42. (2014): 246-267. Print.
  • Xie, Xiaoran and Wu, Jingjing. "Some improvement on convergence rates of kernel density estimator". Applied Mathematics - Special Issue on Survival Analysis 5. (2014): 1684-1696. Print.
  • Zhu, Yayuan, Wu, Jingjing and Lu, Xuewen. "Minimum Hellinger distance estimation for a two-sample semiparametric cure rate model with censored survival data". Computational Statistics 28. (2013): 2495-2518. Print.
  • Chen, Guoqiang and Wu, Jingjing. "Molecular classification of acute leukemia". Some Recent Advances in Mathematics and Statistics - Proceedings of Statistics 2011 Canada/IMST 2011-FIM XX, (2013): 60-74. Print.
  • Wu, Jingjing and Karunamuni, Rohana. "Efficient Hellinger distance estimates for semiparametric models". Journal of Multivariate Analysis 107. (2012): 1-23. Print.
  • Karunamuni, Rohana and Wu, Jingjing. "One-step minimum Hellinger distance estimation". Computational Statistics and Data Analysis 55. (2011): 3148-3164. Print.
  • Wu, Jingjing, Karunamuni, Rohana and Zhang, Biao. "Minimum Hellinger distance estimation in a two-sample semiparametric model". Journal of Multivariate Analysis 101. (2010): 1102-1122. Print.
  • Karunamuni, Rohana, Li, Jianjun and Wu, Jingjing. "Robust empirical Bayes tests for continuous distributions". Journal of Statistical Planning and Inference 140. (2010): 268-282. Print.
  • Wu, Jingjing and Karunamuni, Rohana. "On minimum Hellinger distance estimation". Canadian Journal of Statistics 37. (2009): 514-533. Print.
  • Karunamuni, Rohana and Wu, Jingjing. "Minimum Hellinger distance estimation in a nonparametric mixture model". Journal of Statistical Planning and Inference 139. (2009): 1118-1133. Print.
  • Karunamuni, Rohana, Liang, Tachen and Wu, Jingjing. "Robust empirical Bayes tests for discrete distributions". Journal of Nonparametric Statistics 20. (2008): 101-113. Print.
  • Karunamuni, Rohana, Sriram, T.N. and Wu, Jingjing. "Rates of convergence of an adaptive kernel density estimator for finite mixture models". Statistics and Probability Letters 76. (2006): 221-230. Print.
  • Karunamuni, Rohana, Sriram, T.N. and Wu, Jingjing. "Asymptotic normality of an adaptive kernel density estimator for finite mixture models". Statistics and Probability Letters 76. (2006): 211-220. Print.

 

Awards

  • 2017 - GREAT Supervisor Award - University of Calgary
  • 2017 - GSA Excellence in Supervision Nominee - University of Calgary
  • 2008 - Pierre-Robillard Award - Statistical Society of Canada